How can I handle customer chat in multiple languages?

Chatref’s multilingual capability works hand‑in‑hand with ai-agents. When a customer starts a chat, the platform detects the language and routes the query to a language‑appropriate model. The agent then retrieves the most relevant information from your knowledge-base and generates a fluent, natural reply in the user’s language – not a translated version, but a response natively constructed from your own content. One agent can cover all supported languages, so you never need to build language‑specific bots.

The knowledge-base feature transforms your existing help docs, guides, and changelogs into the source of truth for every answer. Upload your content once – typically in your primary language – and the AI agent can still produce responses in any supported language. The multilingual models understand your content and craft the answer in the customer’s preferred language, maintaining your brand voice across regions. This eliminates the overhead of managing translations or duplicating content for each market.

1. Add your help docs, URLs, or plain text to your knowledge-base in your main language.
2. Enable the multilingual option in your agent’s settings.
3. Use the live playground to test sample questions in different languages and verify the responses.
4. Embed the widget on your site. Your global audience can now get help instantly in their own language.

• Include welcome messages and fallback prompts in the top languages your users speak.
• Check the conversation inbox regularly – it surfaces language‑specific trends and helps you spot gaps in your content.
• Leverage insights to identify the most‑asked questions per language, then add or refine those answers in your knowledge base.
• Keep a single, centralised knowledge base; the AI agents will handle language distribution without you needing to scale your support team.

How to support customers in different languages?
Enable Chatref’s multilingual feature. The AI agent detects the customer’s language automatically and answers from your knowledge base in up to 11 languages, all from one bot.

Can AI chat translate conversations?
Chatref’s agents do not translate message‑by‑message. Instead, they understand your source content and generate the answer directly in the user’s language, giving a more natural, immediate experience than machine translation.

What are best practices for multilingual support?
Start with a single knowledge base in your core language, turn on multilingual, test with native speakers, and monitor the conversation inbox. Add language‑specific greeting prompts, and use insights to improve answers for each region.